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Senior Software Engineer – AI at ConnectWise | JobVerse
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Senior Software Engineer – AI
ConnectWise
Remote
Website
LinkedIn
Senior Software Engineer – AI
India
Full Time
1 hour ago
Visa Sponsorship
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Key skills
Airflow
AWS
Azure
Cloud
Docker
Flask
Google Cloud Platform
Jenkins
NoSQL
Python
SQL
AI
Machine Learning
ML
Generative AI
Claude
RAG
LangChain
LlamaIndex
Agentic
Hugging Face
Pinecone
Weaviate
FastAPI
Pytest
GCP
Google Cloud
S3
SageMaker
Vertex AI
RESTful
Git
CI/CD
About this role
Role Overview
Design, develop, and deploy AI-driven applications using RAG and Agentic AI frameworks.
Builds/ Optimizes machine learning models
Build and maintain scalable data pipelines and services to support AI workflows.
Implement RESTful APIs using Python frameworks (e.g., FastAPI, Flask) for AI model integration.
Collaborate with product and engineering teams to translate business needs into AI solutions.
Debug and optimize AI systems across the stack to ensure performance and reliability.
Stay current with emerging AI tools, libraries, and research, and integrate them into projects.
Contribute to the development of internal AI standards, reusable components, and best practices.
Work with vector databases, embeddings, and LLMs (e.g., GPT-4, Claude, Mistral) for intelligent retrieval and reasoning.
Participate in code reviews, testing, and validation of AI components using frameworks like pytest or unittest.
Document technical designs, workflows, and research findings for internal knowledge sharing.
Adapt quickly to evolving technologies and business requirements in a fast-paced environment.
Requirements
2–5 years of experience in AI/ML engineering.
Familiarity with AI/ ML concepts and application development using Generative AI.
Strong Python programming skills with a solid foundation in OOP and software engineering principles.
Hands-on experience with AI frameworks such as LangChain, LlamaIndex, Haystack, or Hugging Face.
Proficiency in CI/CD tools and workflows (e.g., Git, Docker, Jenkins, Airflow).
Exposure to cloud platforms (AWS, Azure, or GCP) and services like S3, SageMaker, or Vertex AI.
Understanding of vector databases (e.g., OpenSearch, Pinecone, Weaviate) and embedding techniques.
Strong problem-solving skills and ability to work independently or in a team.
Interest in exploring and implementing cutting-edge AI/ ML tools and technologies.
Experience with SQL/NoSQL databases and data manipulation.
Ability to communicate technical concepts clearly to both technical and non-technical audiences.
Tech Stack
Airflow
AWS
Azure
Cloud
Docker
Flask
Google Cloud Platform
Jenkins
NoSQL
Python
SQL
Benefits
Health insurance
Flexible working conditions
Professional development opportunities
Apply Now
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